auto_annotate VS synthetic-dataset-object-detection

Compare auto_annotate vs synthetic-dataset-object-detection and see what are their differences.

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auto_annotate synthetic-dataset-object-detection
2 1
148 20
- -
5.6 2.6
3 months ago over 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

auto_annotate

Posts with mentions or reviews of auto_annotate. We have used some of these posts to build our list of alternatives and similar projects.

synthetic-dataset-object-detection

Posts with mentions or reviews of synthetic-dataset-object-detection. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing auto_annotate and synthetic-dataset-object-detection you can also consider the following projects:

diffgram - The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

vision-camera-realtime-object-detection - VisionCamera Frame Processor Plugin to detect objects using TensorFlow Lite Task Vision

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

tapen - Print labels on Brother PTouch label printers with highly customizable HTML templates

sports - Cool experiments at the intersection of Computer Vision and Sports ⚽🏃

notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.